The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
Open accessAbstract
Computer code based on continual problem re-solving beats human professional poker players at a two-player variant of poker.
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Cites
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Mastering the game of Go with deep neural networks and tree search
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Cited by
Mastering the game of Go without human knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al. (2017) · Nature · doi:10.1038/nature24270 · Cited by 9,084
Artificial intelligence in radiology
Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. W. L. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0016-5 · Cited by 3,803
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Zhao, L., Song, Y., Zhang, C., Liu, Y., Wang, P., Lin, T., Deng, M., & Li, H. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2935152 · Cited by 3,326
Shortcut learning in deep neural networks
Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-00257-z · Cited by 2,224
Deep Learning in Mobile and Wireless Networking: A Survey
Zhang, C., Patras, P., & Haddadi, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2904897 · Cited by 1,768
Metadata
- Authors
- Moravčík, M., Schmid, M., Burch, N., Lisý, V., Morrill, D., Bard, N., Davis, T., Waugh, K., Johanson, M., & Bowling, M.
- Venue
- Science
- Published
- 2017-05-05
- Volume
- 356
- Issue
- 6337
- Pages
- 508-513
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2574978968
- Cited by
- 786
- References
- 20
- FWCI
- 52.15
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. https://app.cochat.ai/papers/10.1126/science.aam6960
- The paper
- Moravčík, M., Schmid, M., Burch, N., Lisý, V., Morrill, D., Bard, N., Davis, T., Waugh, K., Johanson, M., & Bowling, M. (2017). DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science. https://doi.org/10.1126/science.aam6960
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.